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DTSTART;TZID=America/New_York:20240108T101500
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DTSTAMP:20260515T031412
CREATED:20240109T071619Z
LAST-MODIFIED:20240109T081831Z
UID:7259-1704708900-1704715200@www.urbanfreightlab.com
SUMMARY:TRBAM: The Missing Link Between Urban Commercial Curb Use and Freight Trip Generation (Lectern Session 2088)
DESCRIPTION:Lectern Session: Last Mile Challenges and the Importance of Curbside Management (Lectern Session 2088) \nThe last mile continues to be one of the most challenging parts for freight transportation. There is increasing pressure on companies to implement innovative solutions that align with the objectives of cities to alleviate congestion\, decrease emissions\, and provide more space for the citizens. In this session\, speakers will present their findings about the demand for curbside space and how it relates to establishments’ need for freight\, as well as about solutions (e.g.\, parcel lockers) with potential to improve the sustainability of urban freight transportation. \nPresentation: The Missing Link Between Urban Commercial Curb Use and Freight Trip Generation (TRBAM-24-05154)\n \nCities increasingly use curb management strategies to better organize better commercial vehicle flows in urban cores. However\, predicting demand for commercial vehicles parking at the curb is a challenge. One approach to estimate curb demand is Freight Trip Generation (FTG)\, which uses data from establishment surveys to quantify the number of freight trips generated. However\, no previous research has compared FTG estimates with real-world\, observed commercial curb use. While logically\, urban commercial and residential establishments are responsible for generating curb use demand\, several other variables affect curb use\, including drivers’ curb use behaviors and existing curb regulations. The current study uses two data sources: a large dataset of more than 1.5 million curb parking events obtained from a network of curb proximity sensors deployed in a 10-block study area in Seattle\, Washington; respective FTG estimates obtained from an establishment survey performed in the same study area. Regression models were then used to compare the estimated FTG per blockface/week with the observed commercial curb occupancies obtained from the sensor network. The results showed that\, while FTG underestimated commercial curb use\, explaining 24% of curb parking events on average\, they significantly correlate with commercial curb occupancies. A regression model was derived to predict commercial curb use given existing curbspace allocation and estimated FTG. \nAuthors: \n\nGiacomo Dalla Chiara\, University of Washington\nThomas Maxner\, University of Washington\nNota Goulianou\, University of Washington\nAnne Goodchild\, University of Washington
URL:https://www.urbanfreightlab.com/ufl-event/trbam-the-missing-link-between-urban-commercial-curb-use-and-freight-trip-generation-lectern-session-2088/
LOCATION:Walter E. Washington Convention Center\, 801 Allen Y. Lew Place NW (formerly 801 Mt. Vernon Place NW)\, Washington\, DC\, United States
CATEGORIES:Presentations
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240109T133000
DTEND;TZID=America/New_York:20240109T151500
DTSTAMP:20260515T031412
CREATED:20240109T080611Z
LAST-MODIFIED:20240109T081426Z
UID:7270-1704807000-1704813300@www.urbanfreightlab.com
SUMMARY:TRBAM: Freight Demand and Choice Modeling Using Advanced Data Sets (Poster Session 3176)
DESCRIPTION:Freight Demand and Choice Modeling Using Advanced Data Sets (Poster Session 3176)\n \nThis poster session brings in fifteen selected papers that use freight modeling for solving issues. \nPoster: Does Proximity Matter?: An Analysis of West Seattle Shopping Trends (TRBAM-24-05914) \nThis study analyzes how goods type as well as geographic factors affect consumer shopping behavior. In particular\, the choice of shopping in-person or using online options including home delivery\, as well as travel mode choice is studied. Data on shopping choices was collected through an anonymous survey distributed online over 3 months in summer 2022\, asking about consumers’ most recent shopping experience in one of four categories of goods: groceries\, household supplies\, restaurant food\, clothes. The sampled population were residents in the geographical area known as “West Seattle” within Seattle\, Washington. Discrete choice models are estimated to identify significant factors in shopping choice in addition to statistical testing of trends observed in survey responses. The results reveal a strong preference for driving when shopping in-person and a 10-minute preferred travel time when driving or walking. Online shopping is observed to rise above projections\, but preference for it is dependent on the type of goods being shopped for. Results suggest that proximity to destination and available of alternatives has a modest effect on likelihood of walking but imply that efforts to decrease vehicle trips for shopping will need to go beyond bringing establishments closer to residents. \nAuthors: \n\nRishi Verma\, University of Washington\, Seattle\nGiacomo Dalla Chiara\, University of Washington\nAnne Goodchild\, University of Washington\, Seattle
URL:https://www.urbanfreightlab.com/ufl-event/trbam-freight-demand-and-choice-modeling-using-advanced-data-sets/
LOCATION:Walter E. Washington Convention Center\, 801 Allen Y. Lew Place NW (formerly 801 Mt. Vernon Place NW)\, Washington\, DC\, United States
CATEGORIES:Presentations
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240110T080000
DTEND;TZID=America/Los_Angeles:20240110T094500
DTSTAMP:20260515T031412
CREATED:20240109T081028Z
LAST-MODIFIED:20240109T081501Z
UID:7272-1704873600-1704879900@www.urbanfreightlab.com
SUMMARY:TRBAM: State of Sustainable Urban Freight Planning in the United States (Poster Session 4046)
DESCRIPTION:Poster Session 4046: Emerging Trends in Urban Freight Transportation \nThis session includes poster presentations about the latest developments in urban freight. It covers both innovations in methods to better understand and model urban freight flows\, as well as the assessment of solutions to enhance the efficiency and sustainability of urban freight transportation. The presentations will cover different topics\, such as\, the use of autonomous robots for urban deliveries\, the use of urban consolidation centers and lockers for the last mile. \nPoster: The State of Sustainable Urban Freight Planning in the United States (TRBAM-24-04343) \nThe transportation sector is the largest contributor of greenhouse gas emissions in the United States. To combat rising emissions\, cities throughout the country have produced climate action and sustainability plans that outline strategies to reduce their carbon footprint from transportation. Last-mile delivery transportation is becoming an increasingly important component of urban transport emissions due to the rise of e-commerce\, yet few cities are actively pursuing policies to reduce emissions from this subsector. This paper provides an analysis of the planning efforts in 58 major (most populous\, fastest growing) U.S. cities to reduce carbon emissions from last-mile freight. The analysis describes the overall state of sustainable last-mile freight planning in major U.S. cities by identifying the strategies that are being adopted and evaluating the state of advancement in setting and deploying them. Some cities\, have proposed up to ten emission-reduction strategies for freight\, yet nearly half of the reviewed cities lack any policies related to last-mile freight\, let alone sustainable last-mile freight.
URL:https://www.urbanfreightlab.com/ufl-event/state-of-sustainable-urban-freight-planning-in-the-united-states-poster-session-4046/
LOCATION:Walter E. Washington Convention Center\, 801 Allen Y. Lew Place NW (formerly 801 Mt. Vernon Place NW)\, Washington\, DC\, United States
CATEGORIES:Presentations
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